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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 11616
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    Explanations

    references to the abbreviation "Ok" with different numeric values

    oai_token-act-pair · gpt-3.5-turbo

    the word "Ok" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lav
    -0.86
     directions
    -0.71
    pmwiki
    -0.71
    FACE
    -0.68
    éĹ
    -0.67
    TPPStreamerBot
    -0.67
    minecraft
    -0.67
     Scourge
    -0.67
    uded
    -0.64
    æł
    -0.64
    POSITIVE LOGITS
    lahoma
    1.48
     Ok
    1.18
    ok
    1.00
    Ok
    0.94
     ok
    0.94
    umar
    0.88
    oken
    0.87
    unin
    0.84
    omm
    0.83
    oks
    0.80
    Activations Density 0.006%

    No Known Activations